1

Deep Learning Engineer Jobs in Quebec (NOW HIRING)

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

Junior Machine Learning Engineer

Montreal, QC · On-site

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop, train, test, and evaluate conventional machine learning and deep learning models. * Work with structured and unstructured data to support model development, feature engineering, and data ...

Machine Learning Manager

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

... engineering. Required skills and qualifications Background & experience * PhD in a relevant field (e.g., Computer Science, Mathematics). * 10+ years experience in machine learning / deep learning ...

About the Role We are hiring a Senior Machine Learning Engineer Scientist to lead the development ... or Deep Graph Library (DGL) · Experience of designing and developing distributed systems and ...

GenAI Engineer

Montreal, QC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Framework & Pipeline Engineering Build scalable pipelines for data preprocessing, feature ... Deep Learning: Strong grasp of Transformers, CNNs, RNNs, and reinforcement learning (RLHF). Data ...

Work with our machine learning engineers to put cutting edge deep learning algorithms in production. * Develop tools and contribute to open source wherever possible. * Adopt problem solving as a way ...

... deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse ... Work closely with software and DevOps engineers to deploy GenAI models. * Document code, algorithms ...

next page

Showing results 1-20

Deep Learning Engineer information

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Quebec? For Deep Learning Engineer jobs in Quebec, the most frequently searched job titles are:
Infographic showing various Deep Learning Engineer job openings in Quebec as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Senior Deep Learning Engineer

Targeted Talent

Quebec, QC • On-site, Remote

$130K - $180K/yr

Full-time

Re-posted 3 days ago


Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.

Targeted Talent logo

About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA